The TSSIM clutter metrics correlate amazingly well to both the experimental detection probabilities and the mean
detection time. Based on the analysis of both probabilities of the correct detections and of the total (correct and false)
number of detections made by human observers, a mathematical formula for predicting the probability of false alarms as
a function of clutter metrics is presented in this paper. Comparing real experimental data with the predicted products
reveal very good agreement, which is very helpful in understanding human behavior mechanisms regarding target
detection tasks. It is concluded that the human observer behaves as fixed threshold signal processor /Non-CFAR.